{
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  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  用Python标准库turtle绘画金牛：恭贺新春（二）\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from turtle import *\n",
    "import turtle\n",
    "import time\n",
    "\n",
    "\n",
    "BG_COLOR = '#B30016'\n",
    "COW_COLOR = 'yellow'\n",
    "turtle.speed(10)\n",
    "\n",
    "def draw_circle(radius, color):\n",
    "    penup()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    pencolor(color)\n",
    "    pendown()\n",
    "    begin_fill()\n",
    "    circle(radius)\n",
    "    fillcolor(color)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_circle_and_set_start(radius, color):\n",
    "    penup()\n",
    "    sety(-radius)\n",
    "    setx(0)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    pencolor(color)\n",
    "    pendown()\n",
    "    begin_fill()\n",
    "    circle(radius)\n",
    "    fillcolor(color)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_arc(radius, arc, color):\n",
    "    penup()\n",
    "    sety(-radius)\n",
    "    pencolor(color)\n",
    "    pendown()\n",
    "    begin_fill()\n",
    "    circle(radius, extent=arc)\n",
    "    fillcolor(color)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_outer_ring():\n",
    "    \"\"\"环形外圈\"\"\"\n",
    "    penup()\n",
    "    sety(-241)\n",
    "    setx(0)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(240, extent=6)\n",
    "    pencolor(COW_COLOR)\n",
    "    pendown()\n",
    "    begin_fill()\n",
    "    for i in range(26):\n",
    "        circle(240, extent=(360-19.5)/26)\n",
    "        setheading(towards(0, 0))\n",
    "        forward(24)\n",
    "        left(90)\n",
    "        circle(-216, extent=(360-156)/26/2)\n",
    "        setheading(towards(0, 0))\n",
    "        forward(7)\n",
    "        right(90)\n",
    "        circle(209, extent=(360-136.5)/26)\n",
    "        setheading(towards(0, 0))\n",
    "        backward(7)\n",
    "        left(90)\n",
    "        circle(-216, extent=(360-156)/26/2)\n",
    "        setheading(towards(0, 0))\n",
    "        backward(24)\n",
    "        right(90)\n",
    "    fillcolor(COW_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_inner_ring():\n",
    "    \"\"\"环形内圈\"\"\"\n",
    "    penup()\n",
    "    sety(-232)\n",
    "    setx(0)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(240, extent=5.5)\n",
    "    pencolor(BG_COLOR)\n",
    "    circle(232, extent=2)\n",
    "    pendown()\n",
    "    begin_fill()\n",
    "    for i in range(26):\n",
    "        circle(232, extent=(360-123.5)/26)\n",
    "        setheading(towards(0, 0))\n",
    "        forward(8)\n",
    "        left(90)\n",
    "        circle(-224, extent=(360-156)/26/2)\n",
    "        setheading(towards(0, 0))\n",
    "        forward(23)\n",
    "        right(90)\n",
    "        circle(201, extent=(360-32.5)/26)\n",
    "        setheading(towards(0, 0))\n",
    "        backward(23)\n",
    "        left(90)\n",
    "        circle(-224, extent=(360-156)/26/2)\n",
    "        setheading(towards(0, 0))\n",
    "        backward(8)\n",
    "        right(90)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_blossom(long):\n",
    "    color('yellow')\n",
    "    begin_fill()\n",
    "    for i in range(40):\n",
    "        forward(long)\n",
    "        left(175)\n",
    "        forward(long)\n",
    "        right(165)\n",
    "    fillcolor(COW_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_flower(a, color):\n",
    "    pencolor('red')\n",
    "    begin_fill()\n",
    "    for j in range(5):\n",
    "        for i in range(40):\n",
    "            if 0 <= i < 20:\n",
    "                a = a - 0.08\n",
    "            else:\n",
    "                a = a + 0.08\n",
    "            forward(a)\n",
    "            left(6)\n",
    "        right(168)\n",
    "    fillcolor(color)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_outline_out():\n",
    "    \"\"\"外围轮廓\"\"\"\n",
    "    penup()\n",
    "    sety(-185)\n",
    "    setx(0)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    begin_fill()\n",
    "    circle(185, extent=130)\n",
    "    # 绘制尾巴外围\n",
    "    right(60)\n",
    "    for i in range(5):\n",
    "        forward(2.5)\n",
    "        left(8)\n",
    "    forward(35)\n",
    "    left(30)\n",
    "    a = 5\n",
    "    for i in range(4):\n",
    "        forward(a)\n",
    "        left(38)\n",
    "        a += 3\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(185, extent=72)\n",
    "    right(90)\n",
    "    circle(-60, extent=65)\n",
    "    left(30)\n",
    "    for i in range(4):\n",
    "        forward(3)\n",
    "        left(30)\n",
    "    circle(80, extent=90)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(185, extent=6)\n",
    "    right(45)\n",
    "    a = 15\n",
    "    for i in range(9):\n",
    "        if 0 <= i < 5:\n",
    "            a = a - 2.5\n",
    "        else:\n",
    "            a = a + 2.5\n",
    "        forward(a)\n",
    "        left(15)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(185, extent=100)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_outline_inner():\n",
    "    \"\"\"牛轮廓\"\"\"\n",
    "    penup()\n",
    "    sety(-175)\n",
    "    setx(0)\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    circle(175, extent=285)\n",
    "    pendown()\n",
    "    pencolor(COW_COLOR)\n",
    "    begin_fill()\n",
    "    circle(175, extent=155)\n",
    "    draw_tail()\n",
    "    draw_body()\n",
    "    draw_face()\n",
    "    draw_right_ear()\n",
    "    draw_right_horn()\n",
    "    draw_head_up()\n",
    "    draw_left_horn()\n",
    "    right(145)\n",
    "    draw_left_ear()\n",
    "    fillcolor(COW_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_face():\n",
    "    \"\"\"面部\"\"\"\n",
    "    right(160)\n",
    "    for i in range(3):\n",
    "        forward(11)\n",
    "        left(7)\n",
    "    left(12)\n",
    "    forward(43)\n",
    "    left(30)\n",
    "    for i in range(3):\n",
    "        forward(4)\n",
    "        left(12)\n",
    "    left(90)\n",
    "    forward(2)\n",
    "    left(28)\n",
    "    for i in range(5):\n",
    "        forward(9)\n",
    "        right(4)\n",
    "    for i in range(3):\n",
    "        forward(3)\n",
    "        right(30)\n",
    "    right(90)\n",
    "    for i in range(6):\n",
    "        forward(9.3)\n",
    "        left(4)\n",
    "    left(55)\n",
    "    for i in range(5):\n",
    "        forward(4.5)\n",
    "        left(3)\n",
    "    left(45)\n",
    "    a = 3.5\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        left(30)\n",
    "        a += 1\n",
    "    right(90)\n",
    "    forward(3)\n",
    "    right(45)\n",
    "    a, b = 12, 20\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        left(b)\n",
    "        a -= 1.5\n",
    "        b += 10\n",
    "    right(45)\n",
    "    forward(3)\n",
    "    right(45)\n",
    "    for i in range(5):\n",
    "        forward(2)\n",
    "        right(35)\n",
    "    a = 8\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        right(30)\n",
    "        a -= 0.9\n",
    "    left(120)\n",
    "    a = 6\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        if i < 3:\n",
    "            left(5)\n",
    "            a += 2\n",
    "        else:\n",
    "            right(5)\n",
    "            a -= 2\n",
    "    right(170)\n",
    "    a = 9\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        # right(5)\n",
    "        if i < 2:\n",
    "            left(5)\n",
    "            a += 2\n",
    "        else:\n",
    "            right(10)\n",
    "            a -= 3\n",
    "    left(70)\n",
    "    for i in range(3):\n",
    "        forward(3)\n",
    "        right(5)\n",
    "    for i in range(4):\n",
    "        forward(5)\n",
    "        left(8)\n",
    "    for i in range(6):\n",
    "        forward(3)\n",
    "        right(8)\n",
    "    left(145)\n",
    "    for i in range(4):\n",
    "        forward(8)\n",
    "        left(5)\n",
    "    for i in range(4):\n",
    "        forward(3)\n",
    "        right(10)\n",
    "    forward(20)\n",
    "    right(160)\n",
    "    for i in range(4):\n",
    "        forward(5)\n",
    "        right(5)\n",
    "\n",
    "\n",
    "def draw_body():\n",
    "    \"\"\"身体\"\"\"\n",
    "    right(90)\n",
    "    a = 24\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        left(7.5)\n",
    "        a -= 1\n",
    "    left(60)\n",
    "    a = 12\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        right(15)\n",
    "        a -= 1.5\n",
    "    for i in range(5):\n",
    "        forward(10)\n",
    "        right(3)\n",
    "    right(25)\n",
    "    for i in range(3):\n",
    "        forward(12)\n",
    "        right(7)\n",
    "\n",
    "\n",
    "def draw_tail():\n",
    "    \"\"\"牛尾\"\"\"\n",
    "    left(8)\n",
    "    a = 23\n",
    "    for i in range(10):\n",
    "        forward(a)\n",
    "        left(5.8)\n",
    "        a -= 1.8\n",
    "    right(90)\n",
    "    for i in range(4):\n",
    "        forward(6)\n",
    "        left(14)\n",
    "    forward(20)\n",
    "    for i in range(5):\n",
    "        forward(1.5)\n",
    "        right(10)\n",
    "    left(90)\n",
    "    forward(2)\n",
    "    left(45)\n",
    "    for i in range(2):\n",
    "        forward(2)\n",
    "        left(23)\n",
    "    a, b = 13.5, 0\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        left(b)\n",
    "        a -= 1.3\n",
    "        b += 10\n",
    "    right(70)\n",
    "    left(8)\n",
    "    a = 5\n",
    "    for i in range(10):\n",
    "        forward(a)\n",
    "        right(7.8)\n",
    "        a += 2.3\n",
    "\n",
    "\n",
    "def draw_head_up():\n",
    "    \"\"\"头顶\"\"\"\n",
    "    forward(20)\n",
    "    right(30)\n",
    "    for i in range(6):\n",
    "        forward(5)\n",
    "        left(10)\n",
    "    for i in range(3):\n",
    "        forward(1)\n",
    "        right(15)\n",
    "    a = 5\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        left(10)\n",
    "        a += 1\n",
    "    for i in range(7):\n",
    "        forward(2)\n",
    "        right(8)\n",
    "\n",
    "\n",
    "def draw_right_horn():\n",
    "    \"\"\"右牛角\"\"\"\n",
    "    right(100)\n",
    "    a = 5\n",
    "    for i in range(10):\n",
    "        forward(12.5)\n",
    "        left(a)\n",
    "        a += 2\n",
    "    for i in range(3):\n",
    "        forward(1.5)\n",
    "        left(43)\n",
    "    for i in range(4):\n",
    "        forward(3.2)\n",
    "        right(4)\n",
    "    left(100)\n",
    "    draw_tooth_right(3, 150)\n",
    "    left(30)\n",
    "    for i in range(4):\n",
    "        forward(3.5)\n",
    "        right(4)\n",
    "    left(110)\n",
    "    draw_tooth_right(4, 150)\n",
    "    left(25)\n",
    "    for i in range(4):\n",
    "        forward(3)\n",
    "        right(4)\n",
    "    left(110)\n",
    "    draw_tooth_right(5, 150)\n",
    "    left(40)\n",
    "    for i in range(4):\n",
    "        forward(3.2)\n",
    "        right(4)\n",
    "    left(100)\n",
    "    draw_tooth_right(5, 150)\n",
    "    left(40)\n",
    "\n",
    "\n",
    "def draw_left_horn():\n",
    "    \"\"\"左牛角\"\"\"\n",
    "    left(70)\n",
    "    draw_tooth_left(5.5, 155)\n",
    "    left(110)\n",
    "    for i in range(4):\n",
    "        forward(5.5)\n",
    "        right(4)\n",
    "    left(65)\n",
    "    draw_tooth_left(5, 160)\n",
    "    left(110)\n",
    "    for i in range(4):\n",
    "        forward(4)\n",
    "        right(4)\n",
    "    left(70)\n",
    "    draw_tooth_left(4.5, 160)\n",
    "    left(118)\n",
    "    for i in range(4):\n",
    "        forward(3.5)\n",
    "        right(4)\n",
    "    left(60)\n",
    "    draw_tooth_left(4, 165)\n",
    "    left(125)\n",
    "    for i in range(6):\n",
    "        forward(7.5)\n",
    "        right(5)\n",
    "    for i in range(4):\n",
    "        forward(0.5)\n",
    "        left(38)\n",
    "    a, b = 8, 8\n",
    "    for i in range(13):\n",
    "        forward(a)\n",
    "        left(b)\n",
    "        a += 1\n",
    "        b += 0.3\n",
    "\n",
    "\n",
    "def draw_right_ear():\n",
    "    \"\"\"右牛耳\"\"\"\n",
    "    left(70)\n",
    "    a, b = 12, 15\n",
    "    for i in range(3):\n",
    "        forward(a)\n",
    "        left(b)\n",
    "        a -= 2\n",
    "        b += 5\n",
    "    a = 5\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        left(5)\n",
    "        a += 1\n",
    "    for i in range(4):\n",
    "        left(30)\n",
    "        forward(2)\n",
    "    for i in range(5):\n",
    "        forward(5)\n",
    "        right(5)\n",
    "    for i in range(5):\n",
    "        forward(5.5)\n",
    "        left(5)\n",
    "    right(80)\n",
    "    forward(5)\n",
    "\n",
    "\n",
    "def draw_left_ear():\n",
    "    \"\"\"左牛耳\"\"\"\n",
    "    for i in range(7):\n",
    "        forward(4.5)\n",
    "        right(8.2)\n",
    "    a = 10\n",
    "    for i in range(8):\n",
    "        forward(a)\n",
    "        left(11)\n",
    "        if i < 5:\n",
    "            a -= 1\n",
    "        else:\n",
    "            a += 1.5\n",
    "    for i in range(3):\n",
    "        forward(2.5)\n",
    "        left(20)\n",
    "    a = 10\n",
    "    for i in range(2):\n",
    "        forward(a)\n",
    "        left(12)\n",
    "        a -= 0.5\n",
    "    forward(15)\n",
    "    for i in range(11):\n",
    "        left(6.5)\n",
    "        forward(5)\n",
    "    right(95)\n",
    "    forward(8)\n",
    "    right(80)\n",
    "    a = 8\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        right(5)\n",
    "        a -= 1\n",
    "    left(50)\n",
    "    for i in range(7):\n",
    "        forward(9)\n",
    "        left(5)\n",
    "\n",
    "\n",
    "def draw_tooth_right(lenght, angle):\n",
    "    for i in range(5):\n",
    "        forward(lenght)\n",
    "        right(10)\n",
    "    right(angle)\n",
    "    for i in range(5):\n",
    "        forward(lenght)\n",
    "        left(10)\n",
    "\n",
    "\n",
    "def draw_tooth_left(lenght, angle):\n",
    "    for i in range(5):\n",
    "        forward(lenght)\n",
    "        left(10)\n",
    "    right(angle)\n",
    "    for i in range(5):\n",
    "        forward(lenght+0.5)\n",
    "        right(15)\n",
    "\n",
    "\n",
    "def draw_tail_inner():\n",
    "    \"\"\"尾巴内部\"\"\"\n",
    "    penup()\n",
    "    goto(118, 105)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    begin_fill()\n",
    "    setheading(towards(0, 0))\n",
    "    right(75)\n",
    "    for i in range(5):\n",
    "        forward(6)\n",
    "        right(25)\n",
    "    right(130)\n",
    "    for i in range(5):\n",
    "        forward(3.5)\n",
    "        left(15)\n",
    "    left(110)\n",
    "    forward(12)\n",
    "    right(150)\n",
    "    for i in range(5):\n",
    "        forward(2.5)\n",
    "        right(5)\n",
    "    for i in range(4):\n",
    "        forward(2.5)\n",
    "        left(5)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_right_first_flower():\n",
    "    penup()\n",
    "    goto(85, -88)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    setheading(towards(0, 0))\n",
    "    left(40)\n",
    "    draw_flower(2.2, BG_COLOR)\n",
    "    penup()\n",
    "    goto(90, -88)\n",
    "    pendown()\n",
    "    draw_blossom(12)\n",
    "    penup()\n",
    "    goto(101, -94)\n",
    "    pendown()\n",
    "    draw_circle(6, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_right_second_flower():\n",
    "    penup()\n",
    "    goto(20, -96)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    setheading(towards(0, 0))\n",
    "    right(20)\n",
    "    draw_flower(1.8, BG_COLOR)\n",
    "    penup()\n",
    "    goto(20, -100)\n",
    "    pendown()\n",
    "    draw_blossom(7)\n",
    "    penup()\n",
    "    goto(20, -108)\n",
    "    pendown()\n",
    "    draw_circle(4.5, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_left_second_flower():\n",
    "    penup()\n",
    "    goto(-30, -115)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    setheading(towards(0, 0))\n",
    "    right(30)\n",
    "    draw_flower(2.2, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-35, -120)\n",
    "    pendown()\n",
    "    draw_blossom(12)\n",
    "    penup()\n",
    "    goto(-42, -130)\n",
    "    pendown()\n",
    "    draw_circle(6, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_left_first_flower():\n",
    "    penup()\n",
    "    goto(-95, -50)\n",
    "    pendown()\n",
    "    pencolor(BG_COLOR)\n",
    "    setheading(towards(0, 0))\n",
    "    left(8)\n",
    "    draw_flower(2.3, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-102, -55)\n",
    "    pendown()\n",
    "    draw_blossom(13)\n",
    "    penup()\n",
    "    goto(-113, -62)\n",
    "    pendown()\n",
    "    draw_circle(6.5, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_seven_petals():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(132, -72)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(155)\n",
    "    draw_petal(3.5, 3.5, 1.8, 1.8)\n",
    "    penup()\n",
    "    goto(122, -60)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(120)\n",
    "    draw_petal(4, 3.5, 1.9, 1.9)\n",
    "    penup()\n",
    "    goto(103, -52)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(100)\n",
    "    draw_petal(3.6, 3.2, 1.8, 1.8)\n",
    "    penup()\n",
    "    goto(84, -53)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(70)\n",
    "    draw_petal(3.3, 2.8, 1.5, 1.5)\n",
    "    penup()\n",
    "    goto(70, -58)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(30)\n",
    "    draw_petal(2.9, 2.5, 1.2, 1.2)\n",
    "    penup()\n",
    "    goto(62, -72)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(10)\n",
    "    draw_petal(2.8, 2.4, 1.2, 1.2)\n",
    "    penup()\n",
    "    goto(60, -85)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(30)\n",
    "    draw_petal(2.4, 2.2, 1, 1)\n",
    "\n",
    "\n",
    "def draw_petal(a, b,  c, d):\n",
    "    begin_fill()\n",
    "    for i in range(9):\n",
    "        forward(a)\n",
    "        if i < 5:\n",
    "            left(18)\n",
    "            a -= 0.3\n",
    "        else:\n",
    "            right(10)\n",
    "            a += 0.05\n",
    "    left(120)\n",
    "    for i in range(9):\n",
    "        forward(b)\n",
    "        left(12)\n",
    "        b -= 0.15\n",
    "    left(135)\n",
    "    for i in range(7):\n",
    "        forward(c)\n",
    "        right(8)\n",
    "        c += 0.15\n",
    "    right(135)\n",
    "    for i in range(8):\n",
    "        forward(d)\n",
    "        if i < 4:\n",
    "            left(8)\n",
    "            a -= 0.2\n",
    "        else:\n",
    "            right(23)\n",
    "            a += 0.15\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_water_right():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(30, -125)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(120)\n",
    "    a = 7\n",
    "    for i in range(7):\n",
    "        forward(a)\n",
    "        left(10)\n",
    "        a -= 1\n",
    "    a = 1\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        right(35)\n",
    "        a += 0.5\n",
    "    for i in range(12):\n",
    "        forward(2.5)\n",
    "        right(6)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(25, -145)\n",
    "    pendown()\n",
    "    draw_circle(4, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_water_left():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-80, -88)\n",
    "    pendown()\n",
    "    draw_circle(4, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-115, -30)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(120)\n",
    "    a = 7.2\n",
    "    for i in range(7):\n",
    "        forward(a)\n",
    "        left(10)\n",
    "        a -= 1\n",
    "    a = 1\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        right(35)\n",
    "        a += 0.5\n",
    "    for i in range(12):\n",
    "        forward(2.5)\n",
    "        right(5)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(-110, -28)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(55)\n",
    "    a = 6.5\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        right(10)\n",
    "        a -= 1\n",
    "    a = 1\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        left(35)\n",
    "        a += 0.4\n",
    "    for i in range(12):\n",
    "        forward(2.5)\n",
    "        left(5)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(-125, -3)\n",
    "    pendown()\n",
    "    draw_circle(4, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_left_ear_inner():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-117, 51)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(150)\n",
    "    a = 8\n",
    "    for i in range(10):\n",
    "        forward(a)\n",
    "        a -= 0.5\n",
    "        right(5)\n",
    "    left(150)\n",
    "    for i in range(12):\n",
    "        forward(5.8)\n",
    "        left(9)\n",
    "    left(150)\n",
    "    for i in range(5):\n",
    "        forward(3)\n",
    "        right(5)\n",
    "    right(160)\n",
    "    for i in range(5):\n",
    "        forward(3.1)\n",
    "        left(5)\n",
    "    left(160)\n",
    "    for i in range(5):\n",
    "        forward(6)\n",
    "        right(6)\n",
    "    right(160)\n",
    "    for i in range(5):\n",
    "        forward(6)\n",
    "        left(7.5)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_head_up_flower():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-28, 102)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(128)\n",
    "    begin_fill()\n",
    "    a = 1.7\n",
    "    for j in range(3):\n",
    "        for i in range(40):\n",
    "            if 0 <= i < 20:\n",
    "                a = a - 0.07\n",
    "            else:\n",
    "                a = a + 0.07\n",
    "            forward(a)\n",
    "            left(6)\n",
    "        right(168)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    pencolor(COW_COLOR)\n",
    "    penup()\n",
    "    goto(-37, 102)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(85)\n",
    "    draw_little_moon()\n",
    "    penup()\n",
    "    goto(-29, 83)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(5)\n",
    "    draw_little_moon()\n",
    "    penup()\n",
    "    goto(-10, 88)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(65)\n",
    "    draw_little_moon()\n",
    "    penup()\n",
    "    goto(-23, 99)\n",
    "    pendown()\n",
    "    draw_blossom(6.5)\n",
    "\n",
    "\n",
    "def draw_little_moon():\n",
    "    begin_fill()\n",
    "    for i in range(10):\n",
    "        forward(1.1)\n",
    "        left(15)\n",
    "    right(170)\n",
    "    for i in range(10):\n",
    "        forward(1.2)\n",
    "        right(20)\n",
    "    fillcolor(COW_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_right_ear_inner():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(31, 37)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(106)\n",
    "    a = 6\n",
    "    for i in range(10):\n",
    "        forward(a)\n",
    "        a -= 0.5\n",
    "        left(5)\n",
    "    right(140)\n",
    "    for i in range(10):\n",
    "        forward(4)\n",
    "        right(11)\n",
    "    right(135)\n",
    "    for i in range(3):\n",
    "        forward(2)\n",
    "        left(5)\n",
    "    left(140)\n",
    "    for i in range(3):\n",
    "        forward(3)\n",
    "        right(5)\n",
    "    right(150)\n",
    "    for i in range(5):\n",
    "        forward(4)\n",
    "        left(6)\n",
    "    left(155)\n",
    "    for i in range(5):\n",
    "        forward(4.5)\n",
    "        right(7)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_nose():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(30, -29)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(170)\n",
    "    forward(4)\n",
    "    for i in range(3):\n",
    "        forward(1)\n",
    "        left(48)\n",
    "    forward(3.5)\n",
    "    for i in range(8):\n",
    "        forward(1)\n",
    "        left(20)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(5, -28)\n",
    "    begin_fill()\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(95)\n",
    "    for i in range(5):\n",
    "        forward(2.5)\n",
    "        left(2)\n",
    "    a = 0.5\n",
    "    for i in range(8):\n",
    "        forward(a)\n",
    "        right(35)\n",
    "        a += 0.8\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_water_up():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-92, 18)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(18)\n",
    "    begin_fill()\n",
    "    a = 7\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        right(18)\n",
    "        a -= 1\n",
    "    a = 1\n",
    "    for i in range(6):\n",
    "        forward(a)\n",
    "        left(35)\n",
    "        a += 0.25\n",
    "    for i in range(12):\n",
    "        forward(2.5)\n",
    "        left(9)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(-95, 25)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(10)\n",
    "    begin_fill()\n",
    "    for i in range(10):\n",
    "        forward(6)\n",
    "        right(8)\n",
    "    left(180)\n",
    "    for i in range(10):\n",
    "        forward(7)\n",
    "        left(10.8)\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "\n",
    "\n",
    "def draw_five_circle():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-42, -36)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(4.8, BG_COLOR)\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-40, -22)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(3.8, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-42, -10)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(3, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-44, 0)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(2.5, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-49, 7)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(2, BG_COLOR)\n",
    "\n",
    "\n",
    "def draw_eye():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-75, 40)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(38)\n",
    "    begin_fill()\n",
    "    a = 3.5\n",
    "    for i in range(7):\n",
    "        forward(a)\n",
    "        left(15)\n",
    "        a += 0.5\n",
    "    left(70)\n",
    "    a = 7\n",
    "    for i in range(7):\n",
    "        forward(a)\n",
    "        left(18)\n",
    "        a -= 0.5\n",
    "    left(150)\n",
    "    a = 3\n",
    "    for i in range(7):\n",
    "        forward(a)\n",
    "        right(14)\n",
    "        a += 0.5\n",
    "    right(80)\n",
    "    a = 6.5\n",
    "    for i in range(5):\n",
    "        forward(a)\n",
    "        right(16)\n",
    "        a -= 0.5\n",
    "    fillcolor(BG_COLOR)\n",
    "    end_fill()\n",
    "    penup()\n",
    "    goto(-68, 44)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(7, BG_COLOR)\n",
    "    penup()\n",
    "    goto(-64, 42)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    right(90)\n",
    "    draw_circle(4, COW_COLOR)\n",
    "\n",
    "\n",
    "def draw_eyelash():\n",
    "    pencolor(BG_COLOR)\n",
    "    penup()\n",
    "    goto(-40, 32)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(10)\n",
    "    draw_petal(1.8, 1.6, 0.6, 0.6)\n",
    "    penup()\n",
    "    goto(-42, 39)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(30)\n",
    "    draw_petal(2, 1.8, 0.8, 0.8)\n",
    "    penup()\n",
    "    goto(-46, 45)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(50)\n",
    "    draw_petal(2.3, 2, 1, 1)\n",
    "    penup()\n",
    "    goto(-52, 52)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(80)\n",
    "    draw_petal(2.4, 2.1, 1, 1)\n",
    "    penup()\n",
    "    goto(-62, 55)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(90)\n",
    "    draw_petal(2.5, 2.2, 1.1, 1.1)\n",
    "    penup()\n",
    "    goto(-72, 55)\n",
    "    pendown()\n",
    "    setheading(towards(0, 0))\n",
    "    left(115)\n",
    "    draw_petal(2.4, 2.1, 1, 1)\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    title('Python Turtle Draw Gold Cow (Python画金牛：恭贺新春)')\n",
    "    setup(800, 600, 150, 100)\n",
    "    screensize(1040, 585, BG_COLOR)\n",
    "    pencolor(COW_COLOR)\n",
    "    speed(10)\n",
    "    time.sleep(1)\n",
    "    draw_circle_and_set_start(255, COW_COLOR)\n",
    "    draw_circle_and_set_start(245, BG_COLOR)\n",
    "    draw_outer_ring()\n",
    "    draw_inner_ring()\n",
    "    draw_circle_and_set_start(198, COW_COLOR)\n",
    "    draw_circle_and_set_start(185, BG_COLOR)\n",
    "    draw_outline_out()\n",
    "    draw_outline_inner()\n",
    "    draw_tail_inner()\n",
    "    draw_right_first_flower()\n",
    "    draw_seven_petals()\n",
    "    draw_right_second_flower()\n",
    "    draw_water_right()\n",
    "    draw_left_second_flower()\n",
    "    draw_left_first_flower()\n",
    "    draw_water_left()\n",
    "    draw_water_up()\n",
    "    draw_left_ear_inner()\n",
    "    draw_head_up_flower()\n",
    "    draw_right_ear_inner()\n",
    "    draw_nose()\n",
    "    draw_five_circle()\n",
    "    draw_eyelash()\n",
    "    draw_eye()\n",
    "    penup()\n",
    "    goto(400, 0)\n",
    "    done()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "Python 3",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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